quering

A local UI package for querying pooled embedding zips against the original markdown chunk zip.

What it does

• launches with the quering command
• accepts a pooled embedding zip from the previous poolin step
• accepts the original markdown chunk zip from the MarkdownHeaderTextSplitter step
• lets you choose an embedding model for the query sentence
• ranks the highest scoring pooled groups
• maps the best matches back to the original markdown chunk texts
• exports a zip with results, matched chunks, and an LLM-ready prompt

Install

pip install quering

Run

quering

Output zip contents

• querying_summary.json
• querying_results.csv
• llm_prompt.txt
• inputs_used.json
• *_results.jsonl (optional)
• *_results.npz (optional)
• matched_chunks/ (optional)

Notes

• Best results come from using the same embedding model for the query that was used to create the pooled embeddings.
• This package is an original implementation for local experimentation.